Optimal Waist Circumference Cut-Off Point for Multiple Risk Factor Aggregation: Results from the Maracaibo City Metabolic Syndrome Prevalence Study

Author:

Bermúdez Valmore1,Rojas Joselyn1ORCID,Salazar Juan1ORCID,Añez Roberto1,Chávez-Castillo Mervin1,González Robys1,Martínez María Sofía1,Cabrera Mayela1,Cano Clímaco1,Velasco Manuel2,López-Miranda José3

Affiliation:

1. Endocrine and Metabolic Diseases Research Center, The University of Zulia, 20th Avenue, Maracaibo 4004, Venezuela

2. Clinical Pharmacology Unit, José María Vargas School of Medicine, Central University of Venezuela, Caracas 1051, Venezuela

3. Lipid and Atherosclerosis Unit, Department of Medicine, Carlos III Institute of Health, IMIBIC/Reina Sofia University Hospital/University of Córdoba and CIBER Obesity and Nutrition Physiopathology (CIBEROBN), 230002 Córdoba, Spain

Abstract

Context and Objective. The purpose of this study was to determine optimal waist circumference (WC) cut-off values for the detection of multiple risk factor aggregation in individuals from Maracaibo, Venezuela. Participants and Methods. A total of 1,902 adult individuals of both genders belonging to MMSPS were included. Complete physical, laboratory, and anthropometric examination were done to evaluate Metabolic Syndrome (MS) components and insulin resistance. ROC curves were plotted for risk factor aggregation in order to assess WC cut-off point. Logistic regression models were constructed to assess risk factors associated with the WC. Results. There were 52.2% females and 47.8% males, with WC of 90.7±13.7 cm and 98.2±15.9 cm, respectively. ROC curves exhibited a WC cut-off point for women of 90.25 cm (68.4% sensitivity, 65.8% specificity) and 95.15 cm (71.1% sensitivity, 67.4% specificity) for men. HOMA2-IR and high blood pressure were associated with a WC over these cut-off points, as well as 2.5-fold risk increase for multiple risk factor aggregation (OR 2.56; CI 95%: 2.05–3.20; P<0.01). Conclusions. These population-specific WC cut-offs are readily applicable tools for detection of risk factor aggregation. Insulin resistance is closely associated with this definition of abdominal obesity, which may serve as a surrogate for its assessment.

Funder

University of Zulia

Publisher

Hindawi Limited

Subject

Epidemiology

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